An invaluable tool in Bioinformatics, this unique volume provides
both theoretical and experimental results, and describes basic
principles of computational intelligence and pattern analysis while
deepening the reader's understanding of the ways in which these
principles can be used for analyzing biological data in an
efficient manner.

This book synthesizes current research in the integration of
computational intelligence and pattern analysis techniques, either
individually or in a hybridized manner. The purpose is to analyze
biological data and enable extraction of more meaningful
information and insight from it. Biological data for analysis
include sequence data, secondary and tertiary structure data, and
microarray data. These data types are complex and advanced methods
are required, including the use of domain-specific knowledge for
reducing search space, dealing with uncertainty, partial truth and
imprecision, efficient linear and/or sub-linear scalability,
incremental approaches to knowledge discovery, and increased level
and intelligence of interactivity with human experts and decision
makers

Chapters authored by leading researchers in CI in biology
informatics.

Dr. Ujjwal Maulik is Professor of Computer Science and
Engineering at Jadavpur University (India). He is the editor or
author of five books and coauthor of more than 150 articles. Dr.
Maulik is a Senior Member of IEEE and also a Humboldt Fellow.

Dr. Sanghamitra Bandyopadhyay is Professor at the Indian
Statistical Institute. She is the editor or author of six books and
coauthor of more than 180 articles. Dr. Bandyopadhyay is a Senior
Member of IEEE and also a Humboldt Fellow.

Dr. Jason T. L. Wang?is a Professor and Director of the Data and
Knowledge Engineering Lab at the New Jersey Institute of
Technology. He is the editor or author of six books and?Executive
Editor of the World Scientific Book Series on Science, Engineering,
and Biology Informatics.

Digital version available through Wiley Online Library

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